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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2023.1253726</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Progress and prospects in harnessing wild relatives for genetic enhancement of salt tolerance in rice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Padmavathi</surname>
<given-names>Guntupalli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2001639"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bangale</surname>
<given-names>Umakanth</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/469413"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rao</surname>
<given-names>K.&#xa0;Nagendra</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Balakrishnan</surname>
<given-names>Divya</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/333276"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Arun</surname>
<given-names>Melekote&#xa0;Nagabhushan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Singh</surname>
<given-names>Rakesh Kumar</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/842134"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sundaram</surname>
<given-names>Raman Meenakshi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Crop Improvement Section, Plant Breeding, ICAR-Indian Institute of Rice Research (ICAR-IIRR)</institution>, <addr-line>Hyderabad</addr-line>, <country>India</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Genetics and Plant Breeding, Sugarcane Research Station</institution>, <addr-line>Vuyyuru</addr-line>, <country>India</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Crop Production Section, Agronomy, ICAR-Indian Institute of Rice Research (ICAR-IIRR)</institution>, <addr-line>Hyderabad</addr-line>, <country>India</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Crop Diversification and Genetics Section, International Center for Biosaline Agriculture (ICBA)</institution>, <addr-line>Dubai</addr-line>, <country>United Arab Emirates</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Vijay Gahlaut, Chandigarh University, India</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Reetika Mahajan, University of Toledo, United States</p>
<p>Debabrata Panda, Central University of Orissa, Koraput, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Guntupalli Padmavathi, <email xlink:href="mailto:padmaguntupalli6@gmail.com">padmaguntupalli6@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1253726</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Padmavathi, Bangale, Rao, Balakrishnan, Arun, Singh and Sundaram</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Padmavathi, Bangale, Rao, Balakrishnan, Arun, Singh and Sundaram</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Salt stress is the second most devastating abiotic stress after drought and limits rice production globally. Genetic enhancement of salinity tolerance is a promising and cost-effective approach to achieve yield gains in salt-affected areas. Breeding for salinity tolerance is challenging because of the genetic complexity of the response of rice plants to salt stress, as it is governed by minor genes with low heritability and high G &#xd7; E interactions. The involvement of numerous physiological and biochemical factors further complicates this complexity. The intensive selection and breeding efforts targeted towards the improvement of yield in the green-revolution era inadvertently resulted in the gradual disappearance of the loci governing salinity tolerance and a significant reduction in genetic variability among cultivars. The limited utilization of genetic resources and narrow genetic base of improved cultivars have resulted in a plateau in response to salinity tolerance in modern cultivars. Wild species are an excellent genetic resource for broadening the genetic base of domesticated rice. Exploiting novel genes of underutilized wild rice relatives to restore salinity tolerance loci eliminated during domestication can result in significant genetic gain in rice cultivars. Wild species of rice, <italic>Oryza rufipogon</italic> and <italic>Oryza nivara</italic>, have been harnessed in the development of a few improved rice varieties like Jarava and Chinsura Nona 2. Furthermore, increased access to sequence information and enhanced knowledge about the genomics of salinity tolerance in wild relatives has provided an opportunity for the deployment of wild rice accessions in breeding programs, while overcoming the cross-incompatibility and linkage drag barriers witnessed in wild hybridization. Pre-breeding is another avenue for building material that are ready for utilization in breeding programs. Efforts should be directed towards systematic collection, evaluation, characterization, and deciphering salt tolerance mechanisms in wild rice introgression lines and deploying untapped novel loci to improve salinity tolerance in rice cultivars. This review highlights the potential of wild relatives of <italic>Oryza</italic> to enhance tolerance to salinity, track the progress of work, and provide a perspective for future research.</p>
</abstract>
<kwd-group>
<kwd>rice</kwd>
<kwd>salt tolerance</kwd>
<kwd>mechanisms</kwd>
<kwd>wild gene pool</kwd>
<kwd>traditional breeding</kwd>
<kwd>MAS</kwd>
<kwd>transgenics</kwd>
<kwd>genomics</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="182"/>
<page-count count="17"/>
<word-count count="8583"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Abiotic Stress</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Cultivated rice, which primarily includes <italic>Oryza sativa</italic> (Asian cultivated rice) and <italic>Oryza glaberrima</italic> (African cultivated rice), contains 22 wild species that are not cultivated (<xref ref-type="bibr" rid="B144">Solis et&#xa0;al., 2020</xref>). <italic>O. sativa</italic> is cultivated worldwide, whereas <italic>O. glaberrima</italic>, is predominantly grown in Africa. Wild rice ancestors have adapted to various geographically distinct habitats (<xref ref-type="bibr" rid="B6">Atwell et&#xa0;al., 2014</xref>). The 22 wild ancestors constituted the largest gene pool. <italic>Oryza</italic> species are highly variable and comprise 11 distinct genomes, including six diploids (AA, BB, CC, EE, FF, and GG) and five allotetraploids (BBCC, CCDD, KKLL, HHJJ, and HHKK) (<xref ref-type="bibr" rid="B147">Stein et&#xa0;al., 2018</xref>). They differ in morphological characteristics such as growth habit, plant height, flowering, leaf size, panicle size, and branching, awning, and seed size.</p>
<p>Wild relatives of rice are grouped into three gene pools (primary, secondary, and tertiary) based on their ease of hybridization with cultivated rice and phylogenetic relationships (<xref ref-type="bibr" rid="B45">Harlan and de Wet, 1971</xref>). The primary gene pool comprises the <italic>O. sativa</italic> complex (AA genome) with close relatives of cross-compatible rice and a secondary gene pool consisting of <italic>O. officinalis</italic> complex (BB to FF genomes) with less closely related species and a tertiary gene pool constituted with <italic>O. meyeriana</italic> complex, <italic>O. ridleyi</italic> complex, and <italic>O. schlechteria</italic> complex (GG to KKLL genomes) with more distant relatives of rice, necessitating embryo rescue, chromosome doubling, or bridging species to facilitate gene transfer (<xref ref-type="bibr" rid="B144">Solis et&#xa0;al., 2020</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Gene pools of rice representing various wild and related species.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1253726-g001.tif"/>
</fig>
<p>Studies have revealed that indigenous species of rice could potentially be used as genetic resources for abiotic stresses such as submergence (<xref ref-type="bibr" rid="B82">Luo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B132">Sasayama et&#xa0;al., 2022</xref>) drought (<xref ref-type="bibr" rid="B43">Hamzelou et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B4">Anilkumar et&#xa0;al., 2023</xref>), heat (<xref ref-type="bibr" rid="B113">Prasanth et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B64">Khan et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B58">Jagadish et&#xa0;al., 2021</xref>), etc. However, few limited published studies have reported the significance of wild rice species in elevating salinity tolerance in cultivars (<xref ref-type="bibr" rid="B144">Solis et&#xa0;al., 2020</xref>).</p>
<p>Indeed, very few review articles have focused on the genetic enhancement of salinity tolerance in wild <italic>O. sativa</italic> species. Hence, in this manuscript, we have reviewed the impact of salinity effects in rice, the importance of wild rice species in breeding for salinity tolerance, characterization and mechanisms of tolerance in wild rice, deployment of wild rice genes in rice breeding, and challenges and opportunities for the incorporation of wild gene loci to develop salt-resilient rice cultivars.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Importance of wild species in rice breeding</title>
<p>Wild progenitors adapted to various changing climatic conditions display tremendous genetic diversity and carry genetic loci associated with unique agronomic and adaptive traits (<xref ref-type="bibr" rid="B47">Hellwig et&#xa0;al., 2021</xref>). The basic requirement of a successful crop breeding program is the availability and accessibility of genetic variability in target traits (<xref ref-type="bibr" rid="B110">Perrino and Perrino, 2020</xref>). When there is exhaustion in genetic variation among domesticated genotypes, breeders are left with access the diversity available in land races and wild ancestors as alternate sources of variability.</p>
<p>Asian cultivated rice has evolved from its wild ancestor <italic>Oryza rufipogon</italic> through human efforts (<xref ref-type="bibr" rid="B161">Wang et&#xa0;al., 1992</xref>). Similarly, the African rice <italic>O. glaberrima</italic> was domesticated from the African wild progenitor <italic>Oryza barthii</italic>. Erect growth, non-shattering, and increased grain number and weight were targeted during selective breeding. The intense selection and breeding that occurred during domestication could have probably resulted in the loss of genetic variability and the loci associated with stress tolerance in cultivars. <italic>O. sativa</italic> represents &lt;20% of the total variation compared to that found in various wild species (<xref ref-type="bibr" rid="B147">Stein et&#xa0;al., 2018</xref>), and significant natural variability for salt tolerance still exists in wild species (<xref ref-type="bibr" rid="B95">Munns et&#xa0;al., 2016</xref>), which can be exploited to improve cultivated rice. There are certain wild species such as <italic>Oryza coarctata</italic>, a distantly related wild rice that thrives under extreme salinity (450 mM NaCl). However, the crossability barrier limits their utility.</p>
<p>Owing to tall plant stature, photosensitivity, poor grain type, low seed set, high grain shattering, and low yield potential, natural wild accessions are regarded as poor agronomic performers (<xref ref-type="bibr" rid="B130">Sanchez et&#xa0;al., 2013</xref>). Despite this, the recovery of widely adaptable cultivars to diverse challenging environments would be higher when wild relatives of rice are used in the crossing program (<xref ref-type="bibr" rid="B62">Jin et&#xa0;al., 2021</xref>). Insights into morphological and physiological responses to salt stress are crucial for exploiting stress tolerance through distant crosses. The extent to which wild rice progenitors demonstrate tolerance and the probable genetic defense strategies behind tolerance remains partially understood. Crossing barriers, linkage drag, and epistatic effects from unadapted wild genes when introgressed into elite cultivars may complicate mainstream breeding. However, advances in genomic tools and techniques, particularly embryo rescue techniques and deploying molecular marker-based advanced backcrosses, identification, selection, and incorporation of target quantitative trait loci (QTLs) into elite varieties, could successfully generate improved versions of cultivars (<xref ref-type="bibr" rid="B23">Dai et&#xa0;al., 2022</xref>).</p>
<p>The genetic wealth of rice diversity was systematically preserved in gene banks. As of December 2023 (URL-<ext-link ext-link-type="uri" xlink:href="https://www.irri.org/international-rice-genebank">https://www.irri.org/international-rice-genebank</ext-link>), the International Rice Gene Bank Collection Information System (IRGCIS) of the International Rice Research Institute (IRRI) documented 1,32,000 accessions of both cultivated and wild rice. Nevertheless, only a few wild accessions have been evaluated using various salt-screening methods (<xref ref-type="bibr" rid="B72">Kumar et&#xa0;al., 2015</xref>). The primary gene pool consisting of cultivated rice species (<italic>O. sativa</italic> and <italic>O. glaberrima</italic>) and wild rice species (<italic>Oryza nivara</italic>, <italic>O. rufipogon</italic>, <italic>O. barthii</italic>, <italic>Oryza longistaminata</italic>, <italic>Oryza meridionalis</italic>, and <italic>Oryza glumaepatula</italic>) are analyzed for detecting tolerant wild accessions in limited research investigations. A large untapped genetic diversity is available in the secondary and tertiary gene pools, which are additional sources of new salinity tolerance genes. These gene pools can be used to introduce beneficial genes into superior rice varieties (<xref ref-type="bibr" rid="B114">Prusty et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B144">Solis et&#xa0;al., 2020</xref>).</p>
<p>Over the past three decades, there has been substantial advancement in the genetic diversity analysis of wild rice resources and the selection of suitable donor parents. Following the standard Yoshida solution culture method (<xref ref-type="bibr" rid="B40">Gregorio et&#xa0;al., 1997</xref>) and the modified Yoshida solution culture method (<xref ref-type="bibr" rid="B140">Singh et&#xa0;al., 2010</xref>), several germplasm accessions were screened at the seedling stage to identify the donors. A few accessions of <italic>O. rufipogon</italic> and <italic>O. nivara</italic> that survived salinity levels as high as 12 dSm<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B42">Habiba et&#xa0;al., 2015</xref>) were identified. <italic>O. rufipogon</italic> is considered the best donor among the closest wild relatives belonging to the AA genome, followed by the distant wild relatives <italic>O. coarctata</italic>, <italic>O. latifolia</italic>, and <italic>Oryza alta</italic> (<xref ref-type="bibr" rid="B144">Solis et&#xa0;al., 2020</xref>).</p>
<p>At the ICAR-National Institute of Plant Biotechnology, India, 800 accessions of <italic>O. nivara</italic> and <italic>O. rufipogon</italic> collected across ecologies were evaluated (<xref ref-type="bibr" rid="B141">Singh et&#xa0;al., 2018</xref>). The accession NKSWR 173 recorded high seedling stage salt tolerance (150 mM NaCl) (<xref ref-type="bibr" rid="B88">Mishra et&#xa0;al., 2016</xref>). A survey of 22 accessions of wild species screened under high salinity (240 mM NaCl) in a hydroponic system revealed seven accessions, <italic>Oryza minuta</italic>, <italic>Oryza grandiglumis</italic>, <italic>Oryza latifolia</italic>, <italic>O. alta</italic>, <italic>Oryza rhizomatis</italic>, <italic>O. coarctata</italic>, and <italic>Oryza eichingeri</italic>, with higher levels of tissue tolerance and chlorophyll preservation in leaves as compared to the donor parents for salinity tolerance(Pokkali, Nona Bokra, and FL478) and salt-sensitive checks (IR29 and IR75862-206-2-8-3) (<xref ref-type="bibr" rid="B114">Prusty et&#xa0;al., 2018</xref>). <xref ref-type="bibr" rid="B92">Mondal et&#xa0;al. (2018)</xref> and <xref ref-type="bibr" rid="B87">Mishra et&#xa0;al. (2022)</xref> studied the halophytic wild species <italic>O. coarctata</italic> abundant in Indian coastal regions as a source of salinity tolerance genes.</p>
<p>In the past two decades, genome sequencing technology has improved the utilization of genetic variation in wild <italic>Oryza</italic> species for crop improvement. Efforts to sequence wild rice genomes began in 2003 with the establishment of the International Oryza Map Alignment Project (IOMAP). It has provided an in-depth characterization of wild rice genomes to discover and exploit genes/genomic regions governing diverse traits for their transfer into cultivated rice (<xref ref-type="bibr" rid="B164">Wing et&#xa0;al., 2005</xref>). <xref ref-type="bibr" rid="B147">Stein et&#xa0;al. (2018)</xref> sequenced genomes of seven wild species (<italic>O. rufipogon</italic>, <italic>O. nivara</italic>, <italic>O. barthii</italic>, <italic>O. glumaepatula</italic>, <italic>O. meridionalis</italic>, <italic>O. punctata</italic>, and <italic>L. perrieri</italic>) and deposited at National Center for Biotechnology Information (NCBI), Bethesda, Maryland and provided an array of diversity panels. The genome of <italic>O. coarctata</italic> has been sequenced at ICAR-NIPB, India, which would be a valuable addition to the I-OMAP project and would supplement the current genomic resources of wild and cultivated species (<xref ref-type="bibr" rid="B92">Mondal et&#xa0;al., 2018</xref>). This provides insight into the genetic makeup of <italic>O. coarctata</italic> and broadens the gene pool for the enhancement of cultivated rice. Multiple studies have employed whole genome sequencing and resequencing information from cultivated and wild rice population species to identify genomic regions harboring improved agronomic traits as well as adaptive traits, such as resistance to biotic stresses and tolerance to abiotic stresses, including salinity tolerance (<xref ref-type="bibr" rid="B52">Huang et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B167">Xu et&#xa0;al., 2012</xref>).</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Impact of salt stress on rice</title>
<p>Rice is the main nutritional source for more than half of the world&#x2019;s population (<xref ref-type="bibr" rid="B181">Zhou et&#xa0;al., 2020</xref>). Globally, rice is the third-largest cereal grown in 162 million hectares, with an annual production of 755 million tons (<xref ref-type="bibr" rid="B28">FAO, 2022</xref>). Soil salinity and alkalinity are the leading abiotic stressors in coastal and inland areas, followed by drought (<xref ref-type="bibr" rid="B56">Islam et&#xa0;al., 2021</xref>). Even moderate salt stress has been reported to reduce the rice yield by 68% (<xref ref-type="bibr" rid="B98">Naheed et&#xa0;al., 2007</xref>). The changing global climate is expected to cause a significant increase in soil salinization owing to inadequate rainfall, high evaporation rates, and seawater intrusion (<xref ref-type="bibr" rid="B18">Cheng et&#xa0;al., 2020</xref>).</p>
<p>Salt-affected soils are broadly classified as sodic&#x2013;alkaline, saline, or saline&#x2013;sodic soils (<xref ref-type="bibr" rid="B26">Eynard et&#xa0;al., 2005</xref>). In alkaline soils, carbonates and bicarbonates of sodium and magnesium are the most prevalent anions, whereas chlorides and sulfates of sodium and magnesium are frequently found in saline soils. Sodic soils have pH &gt;8.5, the electrical conductivity of saturation extract (ECe) &lt;4 dS m<sup>&#x2212;1</sup> and exchangeable sodium percentage (ESP) &gt;15. Saline soils near the coastal regions, ECe &gt;4 dS m<sup>&#x2212;1</sup>, pH &lt; 8.5, and ESP &lt;15. Saline sodic soils exhibit saline and sodic characteristics, such as variable pH, ECe &#x2265;4 dS m<sup>&#x2212;1</sup>, and ESP &#x2265;15%.</p>
<p>Plants are categorized into halophytes and glycophytes based on their responses to salt stress, (<xref ref-type="bibr" rid="B30">Flowers and Colmer, 2008</xref>; <xref ref-type="bibr" rid="B89">Mishra and Tanna, 2017</xref>). Halophytes thrive in highly saline soils. Most of the crops are salt-sensitive glycophytes. Rice has a threshold salt concentration of &gt;30 mM NaCl (ECe = 3 dS m<sup>&#x2212;1</sup>) (<xref ref-type="bibr" rid="B157">USDA et&#xa0;al., 2008</xref>). A decrease in yield of 12% was reported for each unit, exceeding the specified threshold (<xref ref-type="bibr" rid="B121">Reddy et&#xa0;al., 2014</xref>). Excessive salinity causes osmotic stress and ion toxicity in crop plants. Osmotic pressure reduces soil osmotic potential and causes decreased water uptake, further inhibiting stomatal opening, photosynthesis, elongation, and cell proliferation. This results in a slower growth. Ionic stress causes rapid accumulation of toxic Na<sup>+</sup> and Cl<sup>&#x2212;</sup>, disrupting metabolic processes, resulting in early senescence and reduced stomatal conductance, leading to decreased photosynthesis, biomass, and poor yield (<xref ref-type="bibr" rid="B172">Yu et&#xa0;al., 2017</xref>). Salinity stress, apart from reducing germination, causes whitening of affected leaf tips, leaf rolling, stunted plant growth, patchy appearance in the field, reduced tillering, delayed panicle emergence, length and the number of panicles, reduces pollen viability, spikelet fertility, spikelet number/panicle, and ultimately grain yield, and in cases of increased severity, results in the death of the rice plant (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Rice genotypes showing field symptoms of alkalinity stress grown at Chandra Shekhar Azad University of Agriculture &amp; Technology (CSAUAT), Kanpur, India.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1253726-g002.tif"/>
</fig>
<p>Plants adapt to high salt through various physiological and biochemical defense systems namely high initial seedling vigor, early maturity, sodium exclusion, sodium compartmentalization in vacuoles of roots and older leaves, osmotic adjustment, control of Reactive Oxygen Species (ROS) through production of antioxidants, and programmed cell death.</p>
<p>During the domestication of cultivated rice from local landraces and traditional varieties, selection pressure for productivity traits favored a few genes at the expense of many others. Hence, domesticated varieties have less genetic diversity for other non-selected traits, such as biotic and abiotic stresses, including salinity tolerance, compared to wild species and landraces. This implies that the cultivated gene pool has a narrow genetic base; hence, further gain in salinity tolerance is difficult to achieve. Consequently, the developed cultivars were found to be salt sensitive or moderately tolerant to salinity. Interestingly, wild rice gene pools possess extensive genetic diversity as they grow in undisturbed natural habitats. This diversity can enrich the cultivated gene pool with higher salt tolerance through introgression of wild genes. Salt stress profoundly affects various morphological, physiological, and biochemical processes in rice plants (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Effects of salt stress on morphological, physiological, and biochemical characteristics in rice.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Effects</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="2" align="left">1 Morphological characteristics</th>
</tr>
<tr>
<td valign="top" align="left">Reduced seed germination and leaf expansion</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B37">Ghosh et&#xa0;al. (2016)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Impeding overall plant growth</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B117">Quan et&#xa0;al. (2018)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Decreased leaf area, length of roots and shoots, fresh and dry weights of biomass</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B10">Barua et&#xa0;al. (2015)</xref>; <xref ref-type="bibr" rid="B53">Hussain et&#xa0;al. (2017)</xref>; <xref ref-type="bibr" rid="B25">Dugasa et&#xa0;al. (2019)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Reduced number of tillers, panicles, spikelets per panicle, length of panicles, spikelet fertility and 1000 grain weight</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B21">Clermont-Dauphin et&#xa0;al. (2010)</xref>; <xref ref-type="bibr" rid="B91">Mojakkir et&#xa0;al. (2015)</xref>; <xref ref-type="bibr" rid="B120">Razzaque et&#xa0;al. (2017)</xref>; <xref ref-type="bibr" rid="B105">Negrao et&#xa0;al. (2017)</xref>; <xref ref-type="bibr" rid="B125">Rodriguez-Llorente et&#xa0;al. (2019)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Hampered total dry matter production and leaf area</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B138">Singh et&#xa0;al. (2009)</xref>; <xref ref-type="bibr" rid="B14">Channa et&#xa0;al. (2023)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Caused curled, brown, and dry leaves</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B94">Munns (2005)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Ageing of older leaves and premature plant mortality</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B142">Sirault et&#xa0;al. (2009)</xref>; <xref ref-type="bibr" rid="B3">Amirjani (2010)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Leaf tip burning, stunted growth, necrotic lesions on old leaves and reduced survival of plants</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B73">Kumar et&#xa0;al. (2007)</xref>; <xref ref-type="bibr" rid="B90">Mohammadi et&#xa0;al. (2013)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Reduced the average number and length of roots per plant causing poor nutrient uptake and decreased grain yield</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B53">Hussain et&#xa0;al. (2017)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Reduced panicle emergence, and flowering</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B127">Saade et&#xa0;al. (2016)</xref>, <xref ref-type="bibr" rid="B115">Puram et&#xa0;al. (2017)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Delayed flowering, reduced pollen viability and seed set.</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B122">Reddy et&#xa0;al. (2017)</xref>; <xref ref-type="bibr" rid="B55">Irakoze et&#xa0;al. (2020)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Lowered seedling growth, plant height grain number and lower yield</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B9">Banumathy et&#xa0;al. (2018)</xref>; <xref ref-type="bibr" rid="B143">Soares et&#xa0;al. (2021)</xref>
</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">2 Physiological characteristics</th>
</tr>
<tr>
<td valign="top" align="left">Decreased leaf photosynthesis, respiration rate and biomass</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B19">Chinnusamy et&#xa0;al. (2005)</xref>; <xref ref-type="bibr" rid="B59">Jamil et&#xa0;al. (2012)</xref>; <xref ref-type="bibr" rid="B117">Quan et&#xa0;al. (2018)</xref>; <xref ref-type="bibr" rid="B155">Tsai et&#xa0;al. (2019)</xref>; <xref ref-type="bibr" rid="B13">Channa et&#xa0;al. (2021)</xref>.</td>
</tr>
<tr>
<td valign="top" align="left">Hastened senescence of leaves</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B97">Munns (2002)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Minimized turgor pressure in plant tissues limiting the proliferation of both root and shoot cells</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B176">Zelm et&#xa0;al. (2020)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Triggered stomatal closure, impeding carbon dioxide uptake and photosynthesis</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B180">Zhao et&#xa0;al. (2020)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Decreased biosynthesis of leaf chlorophyll pigments</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B20">Chutipaijit et&#xa0;al. (2011)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Lowered harvest index.</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B36">Gholizadeh et&#xa0;al. (2014)</xref>
</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">3 Biochemical characteristics</th>
</tr>
<tr>
<td valign="top" align="left">Caused ion toxicity and cellular damage by increasing Na<sup>+</sup> concentration and Cl<sup>-</sup> imbalance in cytosol</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B44">Hanin et&#xa0;al. (2016)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Triggered biosynthesis of osmolytes (Fructose, sucrose, mannitol, glycerol, trehalose proline, glycine betaine, glutamic acid and secondary metabolites) within cells</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B129">Sami et&#xa0;al. (2016)</xref>; <xref ref-type="bibr" rid="B51">Hussain et&#xa0;al. (2016)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Suppressed enzyme activities and impedes protein synthesis</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B50">Horie et&#xa0;al. (2012)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Depleted micro (Mg, Zn, and Fe) and macro (N, P, and K) nutrients interrupting normal nutrient uptake</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B119">Razzaq et&#xa0;al. (2020)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Enhanced Na<sup>+</sup> flow into cells and lowers K<sup>+</sup>/Na<sup>+</sup> ratio</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B17">Chen et&#xa0;al. (2007)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Stimulated production of ROS (Hydrogen peroxide and superoxide).</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B166">Xie et&#xa0;al. (2019)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4">
<label>4</label>
<title>Defense strategies of salt tolerance in rice</title>
<p>Plants have evolved protective mechanisms at the cellular, organellar, and whole plant levels to recover from salinity stress. Rice cultivars exhibit genetic variation in their adaptive strategies against salinity (<xref ref-type="bibr" rid="B65">Khan et&#xa0;al., 2020</xref>). The crop has developed a series of adaptive mechanisms, including (i) osmotic adjustment, (ii) compartmentation and ion homeostasis, (iii) antioxidant defense, and (iv) programmed cell death (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>An overview of salt-tolerance mechanisms of rice under salinity stress.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1253726-g003.tif"/>
</fig>
<sec id="s4_1">
<label>4.1</label>
<title>Osmotic adjustment by accretion of osmolytes</title>
<p>Plants have less access to water and nutrients under osmotic stress. To save water and minimize transpiration, which causes Na<sup>+</sup> ion inflow from the roots to the shoots, plants respond by closing their stomata (<xref ref-type="bibr" rid="B31">Flowers and Flowers, 2005</xref>). Osmotic stress builds up Na<sup>+</sup> in the leaves and reduces growth (<xref ref-type="bibr" rid="B1">Afrasyab et&#xa0;al., 2010</xref>). Plants respond to salinity-induced osmotic stress by synthesizing osmoprotectants in the cytoplasm, such as quaternary amino acid derivatives (proline and glycine betaine), sugars (glucose, fructose, and trehalose), sugar alcohols (glycerol and methylated inositols), and late embryogenesis-abundant (LEA) proteins to maintain high cytosolic osmotic adjustment (<xref ref-type="bibr" rid="B50">Horie et&#xa0;al., 2012</xref>). The proline synthesis genes <italic>OsP5CS1</italic> and <italic>OsP5CR</italic> enhance proline biosynthesis and salt tolerance (<xref ref-type="bibr" rid="B146">Sripinyowanich et&#xa0;al., 2013</xref>). Glycine betaine, encoded by <italic>OsCMO</italic> and <italic>OsBADH1</italic>, accumulates in rice when exposed to high salt (<xref ref-type="bibr" rid="B148">Tang et&#xa0;al., 2014</xref>). <italic>OsSWEET13</italic> and <italic>OsSWEET1</italic> regulate sugar homeostasis in rice under saline conditions (<xref ref-type="bibr" rid="B85">Mathan et&#xa0;al., 2020</xref>). Salt and drought tolerance was considerably increased by the LEA genes <italic>OsLEA3-2</italic>, <italic>OsLEA4</italic>, <italic>OsLEA5</italic>, and <italic>OsEm1</italic> (<xref ref-type="bibr" rid="B24">Duan and Cai, 2012</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Compartmentation and ion homeostasis or tissue tolerance</title>
<p>Tolerant plants minimize the initial entry of Na<sup>+</sup>, restrict Na<sup>+</sup> movement in the xylem, induce outflow of Na<sup>+</sup> in the soil, enhance the absorption of K<sup>+</sup>, and regulate the Na<sup>+</sup>/K<sup>+</sup> ratio to protect the leaves from ion toxicity (<xref ref-type="bibr" rid="B96">Munns and Tester, 2008</xref>). In rice, plasma membrane-based histidine kinase transporters (HKTs) modulate the accumulation of Na<sup>+</sup> in the cytosol. They either absorb sodium from the soil solution or remove sodium from the xylem sap and load Na<sup>+</sup> into the phloem sap to reduce sodium accumulation in leaves,when K<sup>+</sup> is limited (<xref ref-type="bibr" rid="B12">Campbell et&#xa0;al., 2017</xref>). In the <italic>Saltol</italic> region of FL478, a Pokkali derivative and a sodium transporter gene, <italic>OsHKT1;5</italic>, mediate Na+ exclusion in rice (<xref ref-type="bibr" rid="B46">Hauser and Horie, 2010</xref>).</p>
<p>The capacity of a tissue to function normally while containing a high internal concentration of Na<sup>+</sup> is known as tissue tolerance. It involves the sequestration of excessive Na<sup>+</sup> from the cytoplasm into the vacuoles of non-functional older leaves and leaf sheaths, and enzymatic detoxification of reactive oxygen species. Selective uptake of Na<sup>+</sup> into vacuoles is performed by four vacuolar Na<sup>+</sup>/H<sup>+</sup> transporters (<italic>OsNHX1</italic>, <italic>OsNHX2</italic>, <italic>OsNHX3</italic>, and <italic>OsNHX4</italic>). Thus, plants maintain a high tissue K<sup>+</sup>/Na<sup>+</sup> ratio, which prevents cytosolic Na<sup>+</sup> toxicity (<xref ref-type="bibr" rid="B165">Wu et&#xa0;al., 2020</xref>). Excess Na<sup>+</sup> is pumped out from the root xylem by a salt overly sensitive 1 (SOS1) transporter, the plasma membrane Na<sup>+</sup>/H<sup>+</sup> antiporter, and <italic>OsNHX1</italic> and <italic>OsSOS1</italic> (<xref ref-type="bibr" rid="B71">Kumar et&#xa0;al., 2013</xref>) and <italic>OsTPC1</italic> (<xref ref-type="bibr" rid="B75">Kurusu et&#xa0;al., 2012</xref>), which contribute to ion homeostasis. Tissue tolerance also involves the biosynthesis of compatible solutes and the formation of enzymes, such as superoxide dismutase and catalase, which detoxify ROS and conserve cell size and turgor (<xref ref-type="bibr" rid="B95">Munns et&#xa0;al., 2016</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Defense against oxidate damage through detoxification of reactive oxygen species</title>
<p>Excessive reactive oxygen species (ROS) are formed in chloroplasts, peroxisomes, and mitochondria under salt stress. This causes oxidative damage to lipids, proteins in cell membranes, enzymes, and nucleic acids, and death in plants (<xref ref-type="bibr" rid="B5">Arif et&#xa0;al., 2020</xref>). Rice plants overproduce enzymatic antioxidants, <italic>viz</italic>., glutathione peroxidase, superoxide dismutase, catalase, and ascorbate peroxidase, and non-enzymatic antioxidants, such as proline, glycine betaine, glutathione, and polyphenols, to protect the cell against oxidative damage (<xref ref-type="bibr" rid="B66">Kim et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B86">Meng et&#xa0;al., 2018</xref>).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Programmed cell death</title>
<p>Plants adopt PCD to destroy excess or injured cells and prevent sodium influx into the shoots and roots. Reports have suggested that the upregulation of genes linked to PCD in rice increases salinity tolerance (<xref ref-type="bibr" rid="B48">Hoang et&#xa0;al., 2015</xref>). Cell death in rice roots during salinity stress was found to occur in a highly regulated manner (<xref ref-type="bibr" rid="B81">Liu et&#xa0;al., 2019</xref>).</p>
<p>Other tolerance mechanisms manifest through early vigorous growth to avoid salt toxicity and enhanced stomatal closure in rice (<xref ref-type="bibr" rid="B71">Kumar et&#xa0;al., 2013</xref>). The osmotic tolerance phase has not been much researched in rice compared to ionic stress. Tolerant rice accessions possess only a few of these mechanisms. Pooling the superior genes associated with adaptive mechanisms governing low Na<sup>+</sup> uptake, high K<sup>+</sup> uptake, Na<sup>+</sup> sequestration, reduced transpiration, and synthesis of osmolytes to develop highly tolerant elite cultivars is urgently needed.</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Overview of morphological, physiological, genetic, and molecular mechanisms underlying salt tolerance in wild rice</title>
<p>Wild species have evolved stronger morphological, physiological, genetic, and molecular adaptive mechanisms than cultivars have. They exhibit sodium secretion through special structures such as salt glands, improved ion homeostasis in roots and shoots, increased osmolyte biosynthesis, strong tissue tolerance, greater detoxification of ROS, and enhanced osmotic tolerance compared to cultivars. Several wild rice donors with increased tolerance to salinity have been, i.e., <italic>O. coarctata</italic> (<xref ref-type="bibr" rid="B83">Majee et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B134">Sengupta and Majumder, 2010</xref>; <xref ref-type="bibr" rid="B34">Garg et&#xa0;al., 2014</xref>), <italic>O. punctata</italic>, <italic>O. officinalis</italic> (<xref ref-type="bibr" rid="B114">Prusty et&#xa0;al., 2018</xref>), and <italic>O. rufipogon</italic> (<xref ref-type="bibr" rid="B153">Tian et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B182">Zhou et&#xa0;al., 2016</xref>).</p>
<p>
<xref ref-type="bibr" rid="B100">Nakamura et&#xa0;al. (2002)</xref> reported higher seedling survival and high photosynthetic rates in <italic>O. latifolia</italic> and <italic>O. rufipogon</italic> up to 300 mM NaCl concentration than cultivated salt tolerant SR26-B and salt sensitive IR28. <italic>O. coarctata</italic>, earlier known as Porteresia coarctata, an allotetraploid wild rice halophyte with KKLL genome (2n = 4x = 48), is the only distant rice which could withstand extreme salinity (500 mM to 650 mM NaCl) as reported by <xref ref-type="bibr" rid="B135">Sengupta et&#xa0;al. (2008)</xref>. It is a unique wild rice that grows in mangroves along coastal belts. It exhibits multiple defense mechanisms of tolerance and mainly adopts a salt excretion strategy to reduce the high salt load in photosynthetic tissues (<xref ref-type="bibr" rid="B134">Sengupta and Majumder, 2010</xref>), thereby retaining a high photosynthetic rate. It contains characteristic hairs known as trichomes on the upper surface of the leaves, through which sodium and chloride salts are excreted (<xref ref-type="bibr" rid="B114">Prusty et&#xa0;al., 2018</xref>). It deploys vacuolar Na<sup>+</sup> compartmentation mediated by Na<sup>+</sup> transporters (<italic>OcNHX1</italic>, <italic>OcSOS1</italic>, <italic>OcHKT1;4</italic>, and <italic>OcHKT1;5</italic>) to maintain a low cytosolic Na<sup>+</sup>/K<sup>+</sup> ratio in the leaf mesophyll, even though it continues to grow in saline water. Despite high salinity, it sustains a low water content (<xref ref-type="bibr" rid="B136">Senthilkumar et&#xa0;al., 2005</xref>). Additionally, it possesses a greater Na<sup>+</sup> and K<sup>+</sup> retention capacity in shoots than in roots and eliminates ROS through enzymatic processes (<xref ref-type="bibr" rid="B133">Sengupta and Majumder, 2009</xref>).</p>
<p>A study conducted by <xref ref-type="bibr" rid="B111">Platten et&#xa0;al. (2013)</xref> using 103 <italic>O. sativa</italic> and 12 <italic>O. glaberrima</italic> accessions indicated the operation of ion homeostasis mechanisms in <italic>O. glaberrima</italic> through salt accumulation in leaves, which was independent of <italic>OsHKT1;5</italic>, as observed in <italic>O. sativa</italic>. <xref ref-type="bibr" rid="B116">Pushpalatha et&#xa0;al. (2013)</xref> evaluated 15 <italic>O. nivara</italic> and <italic>O. rufipogon</italic> introgression lines in the background of KMR3 and Swarna cultivars at various salinity levels (0 mM to 200 mM NaCl) during germination, vegetative, and reproductive growth stages and study revealed a Na<sup>+</sup> exclusion mechanism and osmoprotection by proline synthesis in KMR3 ILs (K463 and K478), vacuolar sodium sequestration, and consistent chlorophyll content in Swarna ILs (S166, S3-1, S14, and S75) in response to salt stress.</p>
<p>
<xref ref-type="bibr" rid="B107">Nishizawa et&#xa0;al. (2015)</xref>, (<xref ref-type="bibr" rid="B108">Nishizawa et&#xa0;al., 2016</xref>) reported similar constant photosynthetic rates and sodium accumulation in <italic>O. officinalis</italic> and <italic>O. latifolia</italic> accessions. However, a relationship between stomatal conductance and net photosynthetic rate could not be demonstrated in <italic>O. latifolia</italic> compared to <italic>O. officinalis</italic>, indicating the possibility of the presence of a new set of salinity tolerance loci. <italic>O. rufipogon</italic> and <italic>O. nivara</italic> have been reported to possess a pool of genes that maintain K<sup>+</sup> homeostasis, Na<sup>+</sup> exclusion, and sodium compartmentalization (<xref ref-type="bibr" rid="B32">Ganeshan et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B154">Tian et&#xa0;al., 2017</xref>). Another wild relative, <italic>O. australiensis</italic> recorded proline accumulation, low Na<sup>+</sup> content, and a low Na<sup>+</sup>/K<sup>+</sup> ratio in the shoots and roots (<xref ref-type="bibr" rid="B170">Yichie et&#xa0;al., 2018</xref>).</p>
<p>
<xref ref-type="bibr" rid="B114">Prusty et&#xa0;al. (2018)</xref> investigated 22 wild species in a hydroponic experiment along with four cultivated tolerant checks (Nona Bokra, Pokkali, and FL478) and two sensitive checks (IR 29 and IR 75862-206-2-8-3) under high saline stress (240 mM NaCl). Two wild species, <italic>O. latifolia</italic> and <italic>O. alta</italic>, survived up to 26 days to 33 days, and <italic>O. coarctata</italic> grew without deleterious effects. Interestingly, <italic>O. eichingeri</italic>, <italic>O. minuta</italic>, and <italic>O. coarctata</italic> accumulated high Na<sup>+</sup> content in their roots and had low oxidative damage. Gene expression studies suggested the involvement of the <italic>OsHKT1;4</italic> transporter gene for mediating Na+ exclusion in leaves, but Na compartmentation occurred independently of the tonoplast-localized <italic>OsNHX1</italic> transporter gene. <xref ref-type="bibr" rid="B137">Shahzad et&#xa0;al. (2022)</xref> attributed the tolerance in wild rice genotypes of <italic>O. alta</italic> and <italic>O. barthii</italic>, to a greater tissue tolerance mechanism. Orthologous alleles of the stress-responsive <italic>VOZ</italic> gene from wild species, viz., <italic>O. brachyantha</italic>, <italic>O. longistaminata</italic>, and <italic>O. nivara</italic>, could act as potential donors for salinity stress improvement (<xref ref-type="bibr" rid="B33">Ganie et&#xa0;al., 2020</xref>). <xref ref-type="bibr" rid="B101">Nan et&#xa0;al. (2020)</xref> identified activation of <italic>OrWRKY</italic> genes in <italic>O. rufipogon</italic> under salt stress.</p>
<p>
<xref ref-type="bibr" rid="B106">Nguyen (2022)</xref> investigated physiological traits governing salt tolerance in 18 Australian wild rice accessions of <italic>O. australiensis</italic>, <italic>O. rufipogon</italic>, and <italic>O. meridionalis</italic> under high salinity (200 mM NaCl) together with three cultivars, namely IR 29, salt sensitive and Pokkali, salt tolerant. <italic>O. australiensis</italic> accessions displayed high net photosynthesis, high relative water content, and low Na<sup>+</sup> and Na<sup>+</sup>/K<sup>+</sup> in the shoots and roots. Gene expression analysis revealed upregulation of proline synthesis genes <italic>OsP5CS1</italic> and <italic>OsP5C2</italic>, and downregulation of the proline degradation gene <italic>OsProDH</italic>. Thus, osmoregulation and ion homeostasis are the key tolerance mechanisms in <italic>O. australiensis</italic> accessions. <xref ref-type="bibr" rid="B145">Solis et&#xa0;al. (2022)</xref> demonstrated higher Na<sup>+</sup> uptake and reduced Na<sup>+</sup> effluxes in <italic>O. alta</italic>, <italic>O. latifolia</italic>, and <italic>O. coarctata</italic>. The expression of <italic>NHX1</italic> and <italic>SOS1</italic>/<italic>NHX7</italic> genes that govern tissue tolerance triggered by salt stress. Detailed information on the candidate genes and their mechanisms are listed in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>List of salt tolerance adaptation mechanisms and the candidate genes in wild rice donors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Wild <italic>Oryza</italic> donors</th>
<th valign="top" align="left">Candidate genes for salt tolerance</th>
<th valign="top" align="left">Salt adaptation strategy</th>
<th valign="top" align="left">Introgression lines/Cultivars developed</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>O. coarctata</italic>
</td>
<td valign="top" align="left">
<italic>NHX1</italic>, <italic>VHA PsbR, MT2b, MT, MT2, MT3, L18a, L23a, PP, VPS2.1, IMT1, INO1, NACs, MYBs, WRKYs, OEC, MSP, CP47/PsbB, PsaE</italic>, Rubisco activase, chloroplastic precursor of glutamine synthetase<italic>, Hsp70</italic>, cellulose synthase-like protein</td>
<td valign="top" align="left">Na<sup>+</sup> sequestration, Salt exclusion through salt hairs, Unaltered carbon fixation and higher water retention, Higher synthesis of osmoprotectants, Higher ROS scavenging, Higher RUBISCO activation, cell wall synthesis and chaperone functions</td>
<td valign="top" align="left">IR56 ILs</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B133">Sengupta and Majumder (2009)</xref>; <xref ref-type="bibr" rid="B134">Sengupta and Majumder (2010)</xref>;<break/>
<xref ref-type="bibr" rid="B34">Garg et&#xa0;al. (2014)</xref>; <xref ref-type="bibr" rid="B88">Mishra et&#xa0;al. (2016)</xref>; <xref ref-type="bibr" rid="B114">Prusty et&#xa0;al. (2018)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O. rufipogon</italic>
</td>
<td valign="top" align="left">
<italic>OsGH3-2, OsGH3-8, CML15, GEM, LRP1, ABF2, RPK1, DST, HKT2;3, HKT1;5, BADH2, HsfC1B, MIPS1, MIPS2, MYB2, NHX1, NHX2, NHX3, P5CS1, P5CS2, PIP1, SIK1, SOS1</italic>, and <italic>SOS2</italic>
</td>
<td valign="top" align="left">Na<sup>+</sup> retrieval from shoot, Higher ROS detoxification, Chlorophyll retention</td>
<td valign="top" align="left">Chinsurah Nona 2,<break/>Jarava,<break/>BRRI Dhan 55(AS996),<break/>Swarna ILs,<break/>KMR3 ILs</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B153">Tian et&#xa0;al. (2011)</xref>; <xref ref-type="bibr" rid="B107">Nishizawa et&#xa0;al. (2015)</xref>; <xref ref-type="bibr" rid="B108">Nishizawa et&#xa0;al. (2016)</xref>; <xref ref-type="bibr" rid="B88">Mishra et&#xa0;al. (2016)</xref>; <xref ref-type="bibr" rid="B32">Ganeshan et&#xa0;al. (2016)</xref>; <xref ref-type="bibr" rid="B160">Wang et&#xa0;al. (2017)</xref>; <xref ref-type="bibr" rid="B114">Prusty et&#xa0;al. (2018)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O. latifolia</italic>
</td>
<td valign="top" align="left">
<italic>HKT1;4, HKT1;5, SOS1</italic>
</td>
<td valign="top" align="left">Na<sup>+</sup> retrieval from shoot, Na<sup>+</sup> exclusion, Na<sup>+</sup> accumulation in mature leaves, Chlorophyll retention</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B107">Nishizawa et&#xa0;al. (2015)</xref>; <xref ref-type="bibr" rid="B108">Nishizawa et&#xa0;al. (2016)</xref>
<italic>;</italic> <xref ref-type="bibr" rid="B114">Prusty et&#xa0;al. (2018)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O nivara</italic>
</td>
<td valign="top" align="left">
<italic>OsHTK1;1; OsHTK1;2 OsHTK1;3; OsHTK1;4 OsHTK1;5; OsHTK2;1 OsHTK2;3 OsHTK2;4</italic>
</td>
<td valign="top" align="left">Ion homeostasis</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B88">Mishra et&#xa0;al. (2016)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O. alta</italic>
</td>
<td valign="top" align="left">
<italic>HKT1;5, SOS1</italic>
</td>
<td valign="top" align="left">Na<sup>+</sup> retrieval from shoot, Na<sup>+</sup> exclusion, Chlorophyll retention</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B114">Prusty et&#xa0;al. (2018)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O. grandiglumis</italic>
</td>
<td valign="top" align="left">
<italic>HKT1;5, SOS1</italic>
</td>
<td valign="top" align="left">Na<sup>+</sup> retrieval from shoot, Na<sup>+</sup> exclusion</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B114">Prusty et&#xa0;al. (2018)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O. officinalis</italic>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Higher chlorophyll synthesis, photosystem not affected and higher water use efficiency</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B108">Nishizawa et&#xa0;al. (2016)</xref>; <xref ref-type="bibr" rid="B114">Prusty et&#xa0;al. (2018)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O. australiensis</italic>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Leaf Na<sup>+</sup> loading, High K/Na, Chlorophyll retention</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B114">Prusty et&#xa0;al. (2018)</xref>; <xref ref-type="bibr" rid="B170">Yichie et&#xa0;al. (2018)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O. australiensis</italic>
</td>
<td valign="top" align="left">
<italic>OsP5CS1</italic> and <italic>OsP5C2</italic>
</td>
<td valign="top" align="left">High net photosynthesis, high relative water content, high proline biosynthesis, low Na<sup>+</sup> and Na<sup>+</sup>/K<sup>+</sup>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B106">Nguyen (2022)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>O. glaberrima</italic>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Na<sup>+</sup> exclusion, low leaf Na<sup>+</sup> concentration</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B111">Platten et&#xa0;al. (2013)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: modified from <xref ref-type="bibr" rid="B144">Solis et&#xa0;al. (2020)</xref>.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Adaptive mechanisms may occur singly or in combination, depending on the species and growth stage of the crop. Different accessions of the same wild <italic>Oryza</italic> species could have a distinct genetic basis for phenotypic expression. With better knowledge of the mechanisms in wild species, appropriate breeding methods could be formulated to enhance yield under salt stress than what is currently obtained in studies involving <italic>O. sativa</italic> donors.</p>
</sec>
<sec id="s6">
<label>6</label>
<title>Approaches to improve salt tolerance in rice</title>
<p>Tolerance to salinity is a complex polygenic trait linked to several morphological and physiological traits, with huge environmental influence and poor heritability (<xref ref-type="bibr" rid="B39">Gregorio and Senadhira, 1993</xref>; <xref ref-type="bibr" rid="B29">Flowers, 2004</xref>). Based on an earlier standard hydroponic system of screening (<xref ref-type="bibr" rid="B40">Gregorio et&#xa0;al., 1997</xref>) and the modified Yoshida culture-based method (<xref ref-type="bibr" rid="B140">Singh et&#xa0;al., 2010</xref>), there have been several investigations in screening the germplasm of <italic>O. sativa</italic> subspecies <italic>indica</italic> and <italic>japonica</italic> (<xref ref-type="bibr" rid="B104">Negrao et&#xa0;al., 2011</xref>) to identify donors. In rice, three major strategies, namely conventional breeding, molecular breeding, and genetic engineering, were employed to generate superior salinity-tolerant cultivars.</p>
<sec id="s6_1">
<label>6.1</label>
<title>Traditional breeding</title>
<p>Breeders have employed introduction, hybridization, pedigree selection, bulk method, modified bulk pedigree, recurrent selection, backcross method, and induced mutations to adapt to salt stress. Early breeding efforts have focused on improving locally domesticated landraces using pure line selection. Notable among them are Pokkali, Nona Bokra, Bhura Rata, and Kalarata. Globally, Pokkali is the most extensively utilized donor because it maintains a low shoot Na<sup>+</sup>/K<sup>+</sup> ratio with tissue tolerance under high salinity. Unfortunately, linkage drag contribute to poor yield and grain quality, and the late maturity of landraces is often brought into new cultivars (<xref ref-type="bibr" rid="B144">Solis et&#xa0;al., 2020</xref>).</p>
<p>Approximately 101 salinity-tolerant rice cultivars developed using conventional breeding techniques have been developed worldwide (<xref ref-type="bibr" rid="B139">Singh et&#xa0;al., 2021</xref>). However, many of them are only moderately tolerant to salinity and not during all growth stages of the crop. The complex inheritance, pleiotropy, and high G &#xd7; E interactions of salt-tolerance traits hinder traditional breeding efforts (<xref ref-type="bibr" rid="B22">Cohen and Leach, 2019</xref>). It is vital to breed rice varieties that can withstand high salt levels without compromising the yield. Under these conditions, the marker-assisted introgression approach shows more promise in the rapid development of tolerant cultivars and in lowering the risk of unwanted linkage drag with the negative traits of wild species and landraces. This has increased the need for the integration of molecular breeding techniques into the breeding process (<xref ref-type="bibr" rid="B57">Ismail et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B151">Thomson et&#xa0;al., 2010</xref>).</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>Molecular breeding</title>
<p>With the advent of DNA-based markers, approximately 1,000 QTLs for salt tolerance in rice have been mapped (<xref ref-type="bibr" rid="B112">Prakash et&#xa0;al., 2022</xref>), and several candidate genes for salinity tolerance have been identified (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). The genetic regions corresponding to these QTLs and genes have been implicated in various molecular and physiological processes. The major landmark in salinity tolerance breeding was the detection of a <italic>Saltol</italic> QTL for shoot K<sup>+</sup>/Na<sup>+</sup> homeostasis on chromosome 1 (<xref ref-type="bibr" rid="B38">Gregorio, 1997</xref>) in an RIL designated as FL478 (IR66496-3R-78-1-1) derived from Pokkali/IR29. In the <italic>Saltol</italic> region, the <italic>SKC1</italic> gene of the Nona Bokra landrace controlling K<sup>+</sup> concentration in shoots was identified and later cloned as <italic>OsHKT1;5</italic>, which encodes a plasma membrane Na<sup>+</sup> transporter that regulates Na<sup>+</sup> partitioning between roots and shoots (<xref ref-type="bibr" rid="B124">Ren et&#xa0;al., 2005</xref>).</p>
<p>
<italic>Saltol</italic> QTL have been successfully transferred to many popular varieties through marker-aided back cross breeding (MABB) in India, Bangladesh, Russia, and Vietnam. (<xref ref-type="bibr" rid="B109">Padmavathi et&#xa0;al., 2023</xref>). The tightly linked markers within the <italic>Saltol</italic> QTL region (AP3206, RM8094, and RM3412), flanking markers, i.e., RM1287 and RM10694, RM493 and RM10793 enabled its successful transfer (<xref ref-type="bibr" rid="B151">Thomson et&#xa0;al., 2010</xref>) in the genetic background of BT7 (<xref ref-type="bibr" rid="B80">Linh et&#xa0;al., 2012</xref>), AS996 (<xref ref-type="bibr" rid="B54">Huyen et&#xa0;al., 2012</xref>), Bacthom 7 (<xref ref-type="bibr" rid="B158">Vu et&#xa0;al., 2012</xref>) in Vietnam, BRRI Dhan 49 (<xref ref-type="bibr" rid="B49">Hoque et&#xa0;al., 2015</xref>) in Bangladesh, Novator (<xref ref-type="bibr" rid="B156">Usatov et&#xa0;al., 2015</xref>) in Russia; ADT43 (<xref ref-type="bibr" rid="B35">Geetha et&#xa0;al., 2017</xref>), PB 1121 (<xref ref-type="bibr" rid="B8">Babu et al., 2017</xref>), Pusa Basmati 1 (<xref ref-type="bibr" rid="B141">Singh et&#xa0;al., 2018</xref>), Yukinko-mai (<xref ref-type="bibr" rid="B118">Rana et&#xa0;al., 2019</xref>), Pusa44 and Sarjoo 52 (<xref ref-type="bibr" rid="B70">Krishnamurthy et&#xa0;al., 2020</xref>), Pusa Basmati 1509 (<xref ref-type="bibr" rid="B169">Yadav et&#xa0;al., 2020</xref>), Aiswarya (<xref ref-type="bibr" rid="B99">Nair and Shylaraj, 2021</xref>) and Improved Samba Mahsuri (<xref ref-type="bibr" rid="B123">Rekha et&#xa0;al., 2022</xref>) in India. These MAS-derived varieties are already available to farmers for cultivation purposes.</p>
<p>Numerous QTLs for salinity tolerance in rice have been identified through biparental mapping populations. However, this approach may only partially reveal the genetic diversity of traits. A genome-wide association study (GWAS) facilitates the detection of a wide array of QTLs, thereby revealing a more extensive genetic diversity of the trait than bi-parental populations. Due to the higher recombination rate of the genome of natural genotypes, GWAS is employed for high resolution rapid mapping of genome-wide SNPs associated with morphological, physiological, photosynthetic and yield and its component traits under salinity such as K<sup>+</sup>/Na<sup>+</sup> ratio, salt injury score, Na<sup>+</sup> and K<sup>+</sup> content of root and shoot, Na<sup>+</sup> sheath: blade ratio, seedling length, fresh and dry weight of shoots and roots, chlorophyll and water content, number of panicles, filled grains and grain yield in seedling stage using hydroponics (<xref ref-type="bibr" rid="B11">Batayeva et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B78">Lekklar et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B126">Rohila et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B179">Zhang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B173">Yuan et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B77">Le et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B103">Nayyeripasand et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B68">Kim and Suk-Man, 2023</xref>) and during the reproductive stage (<xref ref-type="bibr" rid="B150">Theerawitaya et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B163">Warraich et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B16">Chen et&#xa0;al., 2022</xref>).</p>
<p>The enrichment of MABB-derived salt-tolerant cultivars is constrained to bring major advancement, as it can only correct the deficiency of popular varieties, for example, salt sensitivity retaining the recurrent parent genome rather than creating highly heterotic salt-tolerant varieties. Wild rice has not been exploited much compared to cultivated rice. With the advent of next-generation sequencing (NGS) techniques, the available sequence information of genomes of seven wild species, viz., <italic>O. rufipogon</italic>, <italic>O. nivara</italic>, <italic>O. barthii</italic>, <italic>O. glumaepatula</italic>, <italic>O. meridionalis</italic>, <italic>O. punctata</italic>, and <italic>L. perrieri</italic> (<xref ref-type="bibr" rid="B147">Stein et&#xa0;al., 2018</xref>), provides opportunities to detect new genes and novel functional markers for incorporation into cultivars.</p>
</sec>
<sec id="s6_3">
<label>6.3</label>
<title>Genetic engineering</title>
<p>Genetic engineering is a promising approach for trait transfer to overcome hybridization barriers. This approach for increasing salinity tolerance centers on manipulating genes encoding the synthesis of compatible osmotica, antioxidants, sodium/potassium transport proteins, and transcription factors underlying salt tolerance mechanisms, focusing on cultivated rice (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Despite the improvement in transgenic rice possessing the reported genes produced under glasshouse conditions, they have hardly reached farmers&#x2019; fields for commercial cultivation (<xref ref-type="bibr" rid="B69">Kotula et&#xa0;al., 2020</xref>). Transgenic methods have focused only on altering individual genes and a single tolerance mechanism that hinders salinity tolerance improvement. Hence further research is needed to harness the potential of these wild sources.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Genetically engineered rice varieties with increased salinity tolerance.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Transgene</th>
<th valign="top" align="left">Source of gene</th>
<th valign="top" align="left">Mechanism</th>
<th valign="top" align="left">Target rice variety</th>
<th valign="top" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>OsPP1a</italic>
</td>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">Increased antioxidant enzymes (APX and SOD)</td>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B79">Liao et&#xa0;al. (2016)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>HsCBL8</italic>
</td>
<td valign="top" align="left">Wild barley</td>
<td valign="top" align="left">Proline accumulation and a reduced Na<sup>+</sup> uptake</td>
<td valign="top" align="left">Zhonghua11</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B41">Guo et&#xa0;al. (2016)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>OsNHX1</italic>
</td>
<td valign="top" align="left">Pokkali rice</td>
<td valign="top" align="left">K<sup>+</sup>mediated osmoregulation</td>
<td valign="top" align="left">Binnatoa</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B2">Amin et&#xa0;al. (2016)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>PDH45</italic>
</td>
<td valign="top" align="left">Pea</td>
<td valign="top" align="left">Reduced Na<sup>+</sup> accumulation and ROS</td>
<td valign="top" align="left">IR 64</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B102">Nath et&#xa0;al. (2015)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>PcINO1</italic> and <italic>PcIMT1</italic>
</td>
<td valign="top" align="left">
<italic>Porteresia coarctata</italic>
</td>
<td valign="top" align="left">Upregulated inositol metabolic pathway</td>
<td valign="top" align="left">IR 64</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B93">Mukherjee et&#xa0;al. (2019)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">TPSP</td>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="left">Enhanced K<sup>+</sup>/Na<sup>+</sup> ratio, stomatal conductance, and photosynthetic efficiency</td>
<td valign="top" align="left">IR 64</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B63">Joshi et&#xa0;al. (2020)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>OsSOS1</italic>
</td>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">Na<sup>+</sup> extrusion into apoplast</td>
<td valign="top" align="left">Vikas</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B7">Awaji et&#xa0;al. (2020)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>OsRF1</italic>
</td>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">Intensification of ABA signaling pathway</td>
<td valign="top" align="left">Dongjin</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B67">Kim et&#xa0;al. (2022)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>SiMYB19</italic>
</td>
<td valign="top" align="left">Foxtail Millet</td>
<td valign="top" align="left">Regulation of ABA synthesis and signal transduction.</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B168">Xu et&#xa0;al. (2022)</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>miR5505</italic>
</td>
<td valign="top" align="left">Pokkali</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B27">Fan et&#xa0;al. (2022)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s6_4">
<label>6.4</label>
<title>Genome editing</title>
<p>The technique permits editing of the target locus, knockout, and allele exchange in the genome, and culminating in the development of transgene-free edited plants. In rice, the CRISPR/Cas9 gene editing method has been effectively used to edit the <italic>OsRR22</italic> gene, which encodes a transcription factor that controls signaling and cytokinin metabolism in plants, thereby improving salt stress tolerance in rice (<xref ref-type="bibr" rid="B177">Zhang et&#xa0;al., 2019</xref>). The mutated salt-tolerant gene (<italic>OsDST A</italic>), which was developed using CRISPR/Cas9, has been reported to increase tolerance to salt stress by decreasing stomata and increasing leaf water retention in the MTU1010 rice variety (<xref ref-type="bibr" rid="B131">Santosh Kumar et&#xa0;al., 2020</xref>). In another study, CRISPR/Cas9 mediated mutagenesis of the BEARI transcription factor enhanced the tolerance to excessive salts by controlling ion transport (<xref ref-type="bibr" rid="B149">Teng et&#xa0;al., 2022</xref>). Improvement in salt tolerance with decreased salt build-up has been achieved by editing the <italic>OsNAC3</italic> gene in rice (<xref ref-type="bibr" rid="B178">Zhang et&#xa0;al., 2021</xref>). Mutants with CRISPR/Cas9-mediated <italic>OsmiR535</italic> knockout exhibit increased NaCl tolerance (<xref ref-type="bibr" rid="B175">Yue et&#xa0;al., 2020</xref>). The CRISPR/Cas9 mediated mutagenesis of the rice gene BG3, which promotes the transport of cytokinin hormones, revealed increased salinity tolerance (<xref ref-type="bibr" rid="B171">Yin et&#xa0;al., 2020</xref>). The CRISPR/Cas technique can be applied to investigate the wild rice gene pool and address challenges associated with linkage drag during the introgression of target wild genes into high-yielding backgrounds.</p>
</sec>
</sec>
<sec id="s7">
<label>7</label>
<title>Deployment of wild rice relatives in breeding for salt tolerance</title>
<p>Wild rice species are treasure troves with various beneficial traits linked to yield, quality, and tolerance/resistance to abiotic and biotic stresses. Breeders often neglect the utilization of wild rice species for two main reasons. First, it is difficult to ensure gene flow from wild rice into the cultivated gene pool because of cross incompatibility, sterility, or non-viability in F<sub>1</sub> or backcrosses, restricted genetic recombination between wild and elite genomes, and linkage drag from wild rice. However, these genetic complications could be resolved with MABB, ensuring precise gene introgression with selections to minimize unwanted linkage drag and backcrosses, as compared to the traditional approach (<xref ref-type="bibr" rid="B162">Warburton et&#xa0;al., 2017</xref>). Second, when wild rice is grown outside their native habitat, either it is poorly acclimated or the expression of beneficial alleles is concealed. Ultimately, the performance of the derived introgression lines (ILs) is inferior.</p>
<p>Novel genes from the AA genome containing wild species in the primary gene pool could be easily transferred into domesticated rice through the traditional back-cross method. However, distant crosses between <italic>O. sativa</italic> and genetically remote wild species of the secondary and tertiary gene pools are difficult to achieve due to cross incompatibility and embryo abortion and/or degeneration. However, embryo rescue techniques can overcome these hurdles by producing distant fertile interspecific hybrids (<xref ref-type="bibr" rid="B61">Jena, 2010</xref>). Intergeneric hybrids between <italic>Porteresia coarctata</italic>, distant rice relatives, and <italic>O. sativa</italic> were produced with limited success by adopting vegetative multiplication of rescued hybrid embryos (<xref ref-type="bibr" rid="B60">Jena, 1994</xref>). Salt-tolerant genes can also be incorporated from <italic>O. porteresia</italic> into <italic>O. sativa</italic> through bridge crossing with <italic>O. australiensis</italic> (<xref ref-type="bibr" rid="B76">Latha et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B84">Mammadov et&#xa0;al., 2018</xref>).</p>
<p>With the latest advancements in NGS technology and high-throughput phenotyping, the historical natural genetic variation for salt tolerance present in a panel of wild rice accessions can easily be captured following GWAS. This is a potential strategy for mapping salt tolerance genes/QTLs, particularly in wild rice, where cross-incompatibility complicates the generation of mapping populations. The use of genetically distant wild species in the development of improved cultivars with superior trait performance has been greatly facilitated by the identification of candidate genes, GWAS, and development of introgression lines through MABB (<xref ref-type="bibr" rid="B139">Singh et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B23">Dai et&#xa0;al., 2022</xref>).</p>
<p>Transgenic approaches using cloned genes from wild species offer a solution to the issue of direct introgression of wild rice genes. Most transgenic methods have focused on single genes and/or one type of salt-tolerance mechanism in cultivars. However, genetic engineering utilizing cloned genes governing antioxidants, osmolytes, and ion transporters, photosynthesis enhancement, and yield simultaneously could potentially lead to the creation of more resilient rice varieties capable of thriving under high-salinity conditions.</p>
<p>The double haploid technique (DH) is another potential method for generating new homozygous salt-tolerant lines from distant crosses involving wild species in a single generation from heterozygous parents, which would otherwise require several generations of selfing to achieve near homozygosity in conventional breeding.</p>
<p>Genome editing is an emerging strategy for speeding up the development of advanced breeding lines, wherein a specific site in a target wild gene is edited directly by insertion, deletion, or alteration of existing nucleotide/s in the genomic segment of commercial varieties developed through distant hybridization. It corrects the deficiency, as in the present case, of salt sensitivity of the cultivars by avoiding laborious conventional or MABB and the incorporation of large introgressed genomic regions of wild species. Speed breeding is another promising approach for utilizing wild progenitors in breeding that manipulates the photoperiod and temperature to rapidly generate multiple generations within a year. In scenarios where precise genome editing is not an option, speed breeding plays a pivotal role in accelerating generation advancement, enabling selection against undesirable traits inherited from wild species, and stabilizing the genetic background of newly developed cultivars.</p>
<p>Although extensive studies have not been carried out in rice using wild species for genome editing and transgenic approaches, a considerable amount of research has been conducted on QTL mapping and introgression of QTLs/candidate genes in agronomically superior cultures.</p>
<sec id="s7_1">
<label>7.1</label>
<title>QTLs/genes in wild species</title>
<p>As the QTLs/genes from indigenous wild relatives cannot be utilized directly in breeding populations, pre-breeding strategies could be followed to identify and transfer wild rice genes into an intermediate breeding material that can easily be hybridized with modern elite varieties. Although wild rice is not as widely exploited as cultivated rice, it contains positive alleles, genes, and QTLs associated with salt tolerance. These effects have been documented using advanced backcross populations and introgression lines. Due to the large natural genetic diversity of wild species, QTLs associated with novel tolerance mechanisms could be prime candidates for improving salt tolerance (<xref ref-type="bibr" rid="B147">Stein et&#xa0;al., 2018</xref>). A few studies, as detailed below, have attempted to discover natural alleles governing salt tolerance in wild rice donors.</p>
<p>A collection of 87 ILs derived from Teqing/<italic>O. rufipogon</italic> was screened for salinity tolerance during seedling stage by <xref ref-type="bibr" rid="B153">Tian et&#xa0;al. (2011)</xref>. They detected 15 QTLs, 13 containing <italic>O. rufipogon</italic> alleles that conferred higher tolerance in the Teqing background. These alleles enhanced relative root, shoot, and total dry weight at three loci (<italic>qRRW10</italic>, <italic>qRSW10</italic>, <italic>and qRTW10</italic>) on chromosome 10 in salt-tolerant ILs.</p>
<p>In a set of 285 ILs derived from 93-11/<italic>O. rufipogon</italic>, <xref ref-type="bibr" rid="B160">Wang et&#xa0;al. (2017)</xref> identified 10 QTLs for salt tolerance traits on chromosomes 1, 5, 7, 9 to 12 at seedling stage. They observed that <italic>qST7</italic> on chromosome 7 coincided with <italic>qRRW7, qRSW7</italic>, and <italic>qRTW7</italic> in <italic>O. rufipogon</italic> for salt tolerance reported by <xref ref-type="bibr" rid="B153">Tian et&#xa0;al. (2011)</xref>. They also found that <italic>qST10</italic> on chromosome 10 shared a similar QTL hotspot as <italic>qRRW10, qRSW10</italic>, and <italic>qRTW10</italic> reported by <xref ref-type="bibr" rid="B153">Tian et&#xa0;al. (2011)</xref>. Four candidate genes linked to salinity tolerance namely <italic>LRP1</italic> (<italic>LOC</italic>_<italic>Os05g32070</italic>), acetyltransferase (<italic>LOC_Os05g31254</italic>), GRAM domain containing protein (GEM, <italic>LOC_Os10g34730</italic>) and calmodulin-related calcium sensor protein (<italic>OsCML15</italic>, <italic>LOC_Os05g31620</italic>) were recorded in an <italic>O. rufipogon</italic> derived salt-tolerant IL 9L136. It is perceived that the accumulation of enzymatic antioxidants such as peroxidase, catalase and superoxide dismutase in 9L136 served as a probable antioxidant defense mechanism.</p>
<p>A RIL mapping population from a cross between salt sensitive cultivar, Ningjing16 and salt tolerant Dongxiang wild rice, <italic>O. rufipogon</italic> was used by <xref ref-type="bibr" rid="B117">Quan et&#xa0;al. (2018)</xref> to map 9 QTLs for salt tolerance at the seedling stage (<italic>qST</italic>) on chromosomes 1, 3, 4, 5, 6, 8, and 10. They reported that <italic>qST6</italic>, a major QTL influencing survival rate, accounted for 19.3% of the phenotypic variance and showed additive effects. They indicated protein kinases, MYB and zinc finger transcriptional factors and <italic>SKC1, HKT1;5</italic> transporters and <italic>HAK6</italic> as the potential genes within the QTL region. They hypothesized that ion homeostasis and kinase signalling pathways were the possible mechanisms of salt tolerance.</p>
<p>
<xref ref-type="bibr" rid="B159">Wairich et&#xa0;al. (2021)</xref> conducted a research experiment to examine the effect of salinity stress on two different populations of interspecific introgression from <italic>O. sativa</italic> &#xd7; <italic>O. meridionalis</italic> and <italic>O. sativa</italic> &#xd7; <italic>O. rufipogon</italic> crosses. They identified three potential QTLs on chromosomes 1, 3, and 5 in <italic>O. sativa</italic> cv. Curinga <italic>O. meridionalis</italic> (Ng. acc. W2112) ILs, and 19 QTLs on chromosomes 1, 4, and 7 in <italic>O. sativa</italic> cv. Curinga <italic>O. rufipogon</italic> accession (IRGC 105491) population for various vegetation indices under salinity. The study demonstrated that introgression line (IL) CR47 of <italic>O. sativa</italic>/<italic>O. rufipogon</italic> cross had a tissue tolerance mechanism, while IL CM6, derived from <italic>O. sativa</italic>/<italic>O. meridionalis</italic>, had a higher Na<sup>+</sup>/K<sup>+</sup> ratio in roots to cope with salinity.</p>
<p>
<xref ref-type="bibr" rid="B74">Kumari et&#xa0;al. (2021)</xref> subjected back cross progenies derived from IR64 and <italic>O. nivara</italic> accession NKSWR 173 to screening against salinity stress. They genotyped a set of 74 BC<sub>1</sub>F<sub>2</sub> families for the presence of seedling stage (<italic>qSES1.1</italic> and <italic>qSES3.2</italic>) and reproductive-stage salt-tolerant QTLs (<italic>qSTY11.1</italic>). Four backcrossed families displayed enhanced tolerance, as determined by phenotypic performance and QTL peak markers, during both stages of growth.</p>
<p>In another study employing backcross inbred lines (BILs) from the cross 9311 and an African wild rice, <italic>O. longistaminata</italic>, 18 QTLs conferring salt tolerance were found (<xref ref-type="bibr" rid="B174">Yuan et&#xa0;al., 2022</xref>), and one QTL each for salt injury score (<italic>qSIS2</italic>), the water content of seedlings under salt treatment (<italic>qWCSST2</italic>), and the relative water content of seedlings (<italic>qRWCS2</italic>) colocalized on chromosome 2. Sequence and expression analyses suggest that <italic>MH02t0466900</italic>, encoding cytochrome P450 86B1, may contribute to ion homeostasis.</p>
<p>In a study involving 117 DHs derived from F1s of Savitri and Pokkali, <xref ref-type="bibr" rid="B128">Samantaray et&#xa0;al. (2021)</xref> identified four candidate genes for salinity tolerance, namely <italic>LOC_Os01g09550, LOC_Os01g09560</italic>, <italic>LOC_Os12g06560</italic>, and <italic>LOC_Os12g06570</italic> during germination stage.</p>
</sec>
<sec id="s7_2">
<label>7.2</label>
<title>Wild rice derived salt-tolerant elite lines/cultivars</title>
<p>Elite rice lines with salinity tolerance have been successfully developed by harnessing the genetic variability in a limited number of wild rice species (<xref ref-type="bibr" rid="B15">Chatterjee et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B153">Tian et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B32">Ganeshan et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B160">Wang et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B117">Quan et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B74">Kumari et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B159">Wairich et&#xa0;al., 2021</xref>).</p>
<p>The wild species <italic>O. rufipogon</italic> (2n = 24, AA) is frequently used to breed salt-tolerant lines because of its close evolutionary proximity and high compatibility with O. sativa (2n = 24, AA) (Londo et&#xa0;al., 2006). The potential salt-tolerant introgression line, YIL 16, is a derivative of Teqing/<italic>O. rufipogon</italic> has been reported by <xref ref-type="bibr" rid="B153">Tian et&#xa0;al. (2011)</xref>. It has three <italic>O. rufipogon</italic> genomic regions that hold <italic>qRRW3</italic> and <italic>qSTS2</italic>, which are responsible for the relative root dry weight and salt tolerance score, respectively. With its enhanced salt tolerance, YIL 16 could be directly utilized or suggested for breeding programs. <xref ref-type="bibr" rid="B32">Ganeshan et&#xa0;al. (2016)</xref> reported salinity tolerance genes in ILs derived from the crosses <italic>O. sativa</italic> with <italic>O. rufipogon</italic> or <italic>O. nivara</italic>.</p>
<p>Four candidate genes (<italic>LOC_Os05g31254</italic>, <italic>LOC_Os05g31620</italic>, <italic>LOC_Os05g32070</italic>, and <italic>LOC_Os10g34730</italic>) were identified in the QTL regions (<italic>qRW10</italic>, <italic>qRSW10</italic>, and <italic>qRTW10</italic>) of an introgression line (9L 136) according to a study carried out by <xref ref-type="bibr" rid="B160">Wang et&#xa0;al. (2017)</xref>. This line was developed from a cross between a Chinese <italic>O. rufipogon</italic> accession and the <italic>O. sativa</italic> cultivar 93-1. The researchers hypothesized that the overexpression of these genes could improve salt tolerance in rice varieties. Furthermore, the potential of <italic>O. rufipogon</italic> QTLs to boost the antioxidant system in domesticated varieties could help them tolerate salt-induced oxidative stress through marker-assisted introgression.</p>
<p>
<xref ref-type="bibr" rid="B117">Quan et&#xa0;al. (2018)</xref> employed an accession of wild rice, <italic>O. rufipogon</italic>, recovered DJ15, a salt-tolerant introgression line from O. rufipogon and O. sativa (Ningjing16) cross. Subsequently, six high-yielding salt-tolerant RILs developed between NIL DJ15/Koshihikari possessing both <italic>qST1.2DJ15</italic> and <italic>qST6DJ15</italic> were identified with an improved seed set.</p>
<p>Despite the availability of 22 potential wild species and two cultivated species (<italic>O. sativa</italic> and <italic>O. glaberrima</italic>), only two salt-tolerant varieties have been developed to date. Jarava and Chinsura Nona 2 were both developed using <italic>O. rufipogon</italic> donors. Jarava is a coastal saline-tolerant rice cultivar bred by ICAR-IIRR, Hyderabad, India, through distant hybridization between <italic>O. rufipogon</italic> and <italic>O. sativa</italic>. In 2005, it was released and notified by the Central Sub-Committee on Crop Standards, Notification and Release of Varieties for cultivation in West Bengal, Andaman &amp; Nicobar, Puducherry states of India due to its superior yield under saline soils (Gazette of India notification No: S.O.1566 E dated 11-05-2005). It is a long-duration (143 days to 145 days) variety possessing short bold grains with 4.5 t/ha grain yield (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Wild rice derived salt tolerant rice cultivars released from ICAR-IIRR, Hyderabad, India.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1253726-g004.tif"/>
</fig>
<p>Another coastal saline tolerant cultivar, Chinsura Nona 2 (Gosaba 6), a medium duration (130 days to 135 days) variety with bold grains, originated from the KMR3 &#xd7; <italic>O. rufipogon</italic> cross developed at ICAR-IIRR, Hyderabad in collaboration with Rice Research Station, Chinsurah, West Bengal, India (<xref ref-type="bibr" rid="B152">Thummala et&#xa0;al., 2022</xref>). It recorded 5.56 t/ha of grain yield under salinity; and was released and notified by the State Variety Release Committee (SVRC) for commercial cultivation in the West Bengal state of India (Gazette of India notification No S.O. 3220 E dated 5.9.2019). Thus, wild rice genes contributed immensely to the enhanced salt tolerance in the improved cultivars.</p>
<p>Employing genetic engineering, the MIPS coding gene from the most distant rice ancestor, <italic>O. coarctata</italic>, <italic>PcINO1</italic>, encoding L-myoinositol 1-phosphate synthase, was introgressed into the cultivated rice variety, Pusa Basmati-1, which displayed increased salt tolerance (<xref ref-type="bibr" rid="B15">Chatterjee et&#xa0;al., 2006</xref>).</p>
</sec>
</sec>
<sec id="s8" sec-type="conclusions">
<label>8</label>
<title>Conclusions</title>
<p>Salinity, particularly during the reproductive stage, is a major abiotic stress factor that drastically reduces rice crop productivity. If not properly addressed, it poses a severe threat to global food security. Breeding for salinity tolerance is challenging due to its polygenic control, interaction with the environment, intricate physiological and metabolic processes, and growth stage. Despite the complexity, a moderate headway has been achieved with the development and release of approximately 101 salt-tolerant rice varieties using traditional global breeding methods.</p>
<p>The development of salt-tolerant cultivars has been hindered by the scarcity of genetic resources among domesticated cultivars. Therefore, future research should prioritize broadening the genetic base of modern cultivars by utilizing the salinity-adaptive genes present in unexplored wild species from secondary and tertiary gene pools. Prior to this endeavor, it is necessary to systematically explore and characterize various unexploited accessions of wild species for different salt stress defense mechanisms and identify genes for incorporation into breeding programs.</p>
<p>Obstacles associated with crossing and unwanted linkage drag are common during distant hybridization with wild species. This deficiency can be corrected by adopting the MABB method, which facilitates the accurate and accelerated introgression of target candidate genes/QTLs in popular cultivars. It is vital to reinforce pre-breeding programs that employ wild species in their breeding schemes worldwide. Continued research is needed to pinpoint more genomic resources in terms of salt-responsive QTLs and molecular markers and to profile the genes and their upstream regulatory regions in potential wild relatives. This will facilitate an in-depth understanding of the mechanisms that are effective in breeding tolerant varieties.</p>
<p>Exotic candidate genes have the potential to generate transgenic plants. The accurate pyramiding of genes responsible for different mechanisms of salt tolerance from divergent wild genetic sources into elite cultivars is needed for an hour to increase salt tolerance. Progress in transgenic and genome-editing techniques has paved the way for more possibilities to utilize and investigate valuable genes from wild rice to enhance salinity tolerance in cultivated rice.</p>
<p>The specific salt tolerance mechanisms in halophytes have yet to be fully elucidated. A comprehensive analysis of the process by which plants recognize salt stress and the crosstalk between different genes and pathways that are involved in regulating salt tolerance mechanisms is still needed. Concerted efforts are necessary to preserve both <italic>ex situ</italic> and <italic>in situ</italic> wild rice species for integration into salinity breeding programs.</p>
</sec>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>GP: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. UB: Writing &#x2013; review &amp; editing. KR: Writing &#x2013; review &amp; editing. DB: Writing &#x2013; review &amp; editing. MA: Data curation, Writing &#x2013; review &amp; editing. RKS: Writing &#x2013; review &amp; editing. RMS: Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2023.1253726/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2023.1253726/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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</ref-list>
</back>
</article>